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    Job · 16265777

    BENGALURU · FULLTIME

    Data Scientist -Machine learning

    Infosys logo

    Infosys

    Bengaluru · onsite · Posted 44d ago

    Sourced fromNaukri
    Undisclosed5–8 yrsfulltimeBengaluru

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Service Line
    Data Analytics Unit
    Responsibilities
    • Technical Delivery Modeling: Lead end-to-end data science and machine learning project execution from discovery to deployment-ready deliverables.
    • Design, develop, and evaluate ML models aligned to business objectives, ensuring robust performance and generalization.
    • Perform data exploration, feature engineering, and model selection to improve predictive accuracy and reliability.
    • Establish model validation approaches, track metrics, and document assumptions, limitations, and outcomes.
    • Consulting Stakeholder Management: Partner with stakeholders to translate business problems into analytical frameworks and measurable success criteria.
    • Communicate insights and model results clearly to technical and non-technical audiences, enabling decision-making.
    • Drive solution recommendations with a focus on feasibility, scalability, and business impact.
    • Leadership Quality: Provide technical guidance and mentorship to team members, promoting strong engineering and modeling practices.
    • Review code, experiments, and outputs to ensure quality, reproducibility, and maintainability.
    • Contribute to reusable assets, templates, and best practices for consistent delivery across initiatives.
    Qualifications
    • Educational Requirements: Bachelor of Engineering, BTech, BCA.
    • UG education in Computers: BTech / BSC / BCA (Computers must be included in UG).
    • 58 years of experience in Data Science, Machine Learning, and AI/ML solution delivery.
    • Strong hands-on experience with Python for data science workflows and model development.
    • Proven ability to build, evaluate, and improve ML models using sound statistical and analytical techniques.
    • Experience working with stakeholders to define problem statements, success metrics, and actionable outcomes.
    Additional Responsibilities
    • Experience leading teams or workstreams, including mentoring, technical reviews, and delivery ownership.
    • Strong proficiency with Python data science ecosystem (e.g., NumPy, Pandas, scikit-learn) and experiment tracking practices.
    • Exposure to deep learning or advanced ML techniques and frameworks (e.g., TensorFlow, PyTorch) where applicable.
    • Ability to design scalable solution approaches and collaborate effectively in a hybrid work environment.
    • Strong documentation and communication skills to present insights, trade-offs, and recommendations with clarity.
    Technical and Professional Requirements
    • Technology- >AI-Data science- >Machine Learning
    • Technology- >AI-Data science- >PYTHON
    Preferred Skills

    Sourced from naukri

    Section · 02

    Skills

    kerasneural networksstatistical modelingComputer Visiontext miningNatural Language ProcessingOpencvTensorflowScikit-LearnPythonDeep LearningPredictive ModelingData ScienceArtificial IntelligenceMachine Learning

    Section · Company

    About Infosys

    Infosys logo

    Infosys

    IT Services & Consulting

    323.6k+

    employees

    1981

    45 years old

    Bengaluru/Bangalore, Karnataka

    India

    About

    Infosys is a global leader in next-generation digital services and consulting.

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    IT Services & ConsultingConsulting

    Employee ratings

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    3.5/ 5

    Culture

    3.6

    Career growth

    2.6

    Work-life

    3.6

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